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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#include "itkFilterWatcher.h"
#include "itkImageFileWriter.h"
#include "itkGaussianImageSource.h"
#include "itkTestingMacros.h"
#include "itkMath.h"
int itkGaussianImageSourceTest( int argc, char* argv[] )
{
if ( argc < 3 )
{
std::cout << "Usage: " << argv[0]
<< " outputImage normalized" << std::endl;
return EXIT_FAILURE;
}
const unsigned int Dimension = 3;
typedef unsigned char PixelType;
typedef itk::Image< PixelType, Dimension > ImageType;
// Create a Gaussian image source
typedef itk::GaussianImageSource< ImageType > GaussianSourceType;
GaussianSourceType::Pointer gaussianImage = GaussianSourceType::New();
ImageType::SpacingValueType spacing[] = { 1.2f, 1.3f, 1.4f };
ImageType::PointValueType origin[] = { 1.0f, 4.0f, 2.0f };
ImageType::SizeValueType size[] = { 130, 150, 120 };
ImageType::DirectionType direction;
direction.SetIdentity();
GaussianSourceType::ArrayType mean;
mean[0] = size[0]/2.0f + origin[0];
mean[1] = size[1]/2.0f + origin[1];
mean[2] = size[2]/2.0f + origin[2];
GaussianSourceType::ArrayType sigma;
sigma[0] = 25.0f;
sigma[1] = 35.0f;
sigma[2] = 55.0f;
gaussianImage->SetSize( size );
for( unsigned int i = 0; i < Dimension; ++i)
{
TEST_SET_GET_VALUE( size[i], gaussianImage->GetSize()[i] );
}
gaussianImage->SetOrigin( origin );
for( unsigned int i = 0; i < Dimension; ++i)
{
TEST_SET_GET_VALUE( origin[i], gaussianImage->GetOrigin()[i] );
}
gaussianImage->SetSpacing( spacing );
for( unsigned int i = 0; i < Dimension; ++i)
{
TEST_SET_GET_VALUE( spacing[i], gaussianImage->GetSpacing()[i] );
}
gaussianImage->SetDirection( direction );
TEST_SET_GET_VALUE( direction, gaussianImage->GetDirection() );
// Test SetReferenceImage from GenerateImageSource base class.
ImageType::Pointer referenceImage = ImageType::New();
ImageType::IndexType startIndex;
startIndex.Fill(0);
ImageType::SizeType referenceSize;
referenceSize.SetSize(size);
ImageType::RegionType region(startIndex, referenceSize);
referenceImage->SetRegions(region);
referenceImage->Allocate();
referenceImage->FillBuffer(0);
referenceImage->SetOrigin( origin );
referenceImage->SetSpacing( spacing );
referenceImage->SetDirection( direction );
gaussianImage->SetReferenceImage( referenceImage );
bool useReferenceImage = true;
TEST_SET_GET_BOOLEAN( gaussianImage, UseReferenceImage, useReferenceImage );
gaussianImage->SetReferenceImage( referenceImage );
TEST_SET_GET_VALUE( referenceImage, gaussianImage->GetReferenceImage() );
gaussianImage->SetOutputParametersFromImage( referenceImage );
bool normalized = atoi( argv[2] ) != 0;
TEST_SET_GET_BOOLEAN( gaussianImage, Normalized, normalized );
gaussianImage->SetMean( mean );
TEST_SET_GET_VALUE( mean, gaussianImage->GetMean() );
gaussianImage->SetSigma( sigma );
TEST_SET_GET_VALUE( sigma, gaussianImage->GetSigma() );
// Check the parameters
GaussianSourceType::ParametersType params = gaussianImage->GetParameters();
if ( params.GetSize() != 7 )
{
std::cerr << "Incorrect number of parameters. Expected 7, got "
<< params.GetSize() << "." << std::endl;
return EXIT_FAILURE;
}
if ( itk::Math::NotAlmostEquals( params[0], sigma[0] ) ||
itk::Math::NotAlmostEquals( params[1], sigma[1] ) ||
itk::Math::NotAlmostEquals( params[2], sigma[2] ) )
{
std::cerr << "Parameters have incorrect sigma value." << std::endl;
return EXIT_FAILURE;
}
if ( itk::Math::NotAlmostEquals( params[3], mean[0] ) ||
itk::Math::NotAlmostEquals( params[4], mean[1] ) ||
itk::Math::NotAlmostEquals( params[5], mean[2] ) )
{
std::cerr << "Parameters have incorrect mean value." << std::endl;
return EXIT_FAILURE;
}
if ( itk::Math::NotAlmostEquals( params[6], gaussianImage->GetScale() ) )
{
std::cerr << "Parameters have incorrect scale value." << std::endl;
return EXIT_FAILURE;
}
params[0] = 12.0;
params[1] = 13.0;
params[2] = 14.0;
params[3] = 22.0;
params[4] = 32.0;
params[5] = 42.0;
params[6] = 55.5;
gaussianImage->SetParameters( params );
if ( itk::Math::NotAlmostEquals( gaussianImage->GetSigma()[0], params[0] ) ||
itk::Math::NotAlmostEquals( gaussianImage->GetSigma()[1], params[1] ) ||
itk::Math::NotAlmostEquals( gaussianImage->GetSigma()[2], params[2] ) )
{
std::cerr << "Sigma disagrees with parameters array." << std::endl;
std::cerr << "Sigma: " << gaussianImage->GetSigma() << ", parameters: ["
<< params[0] << ", " << params[1] << ", " << params[2]
<< "]" << std::endl;
return EXIT_FAILURE;
}
if ( itk::Math::NotAlmostEquals( gaussianImage->GetMean()[0], params[3] ) ||
itk::Math::NotAlmostEquals( gaussianImage->GetMean()[1], params[4] ) ||
itk::Math::NotAlmostEquals( gaussianImage->GetMean()[2], params[5] ) )
{
std::cerr << "Mean disagrees with parameters array." << std::endl;
std::cerr << "Mean: " << gaussianImage->GetMean() << ", parameters: ["
<< params[3] << ", " << params[4] << ", " << params[5]
<< "]" << std::endl;
return EXIT_FAILURE;
}
if ( itk::Math::NotAlmostEquals( gaussianImage->GetScale(), params[6] ) )
{
std::cerr << "Scale disagrees with parameters array." << std::endl;
std::cerr << "Scale: " << gaussianImage->GetScale() << ", parameters: "
<< params[6] << std::endl;
return EXIT_FAILURE;
}
FilterWatcher watcher( gaussianImage, "GaussianImageSource" );
// Run the pipeline
TRY_EXPECT_NO_EXCEPTION( gaussianImage->Update() );
// Get the output of the image source
ImageType::Pointer outputImage = gaussianImage->GetOutput();
// Write the result image
typedef itk::ImageFileWriter< ImageType > WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( argv[1] );
writer->SetInput( outputImage );
TRY_EXPECT_NO_EXCEPTION( writer->Update() );
std::cout << "Test finished" << std::endl;
return EXIT_SUCCESS;
}
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